舆论
媒体艺术
表演艺术
图像(数学)
艺术
人工智能
计算机科学
视觉艺术
多媒体
媒体研究
广告
艺术
社会学
政治学
政治
业务
法学
作者
Paul R. Brewer,Liam Cuddy,Wyatt Dawson,Robert Stise
标识
DOI:10.1007/s00146-023-01854-3
摘要
Abstract This study investigates how patterns of media use and exposure to media messages are related to attitudes about artificial intelligence (AI) image generators. In doing so, it builds on theoretical accounts of media framing and public opinion about science and technology topics, including AI. The analyses draw on data from a survey of the US public ( N = 1,035) that included an experimental manipulation of exposure to tweets framing AI image generators in terms of real art, artists’ concerns, artists’ outrage, or competing interpretations. The results show that technology news use and science fiction viewing predicted support for AI art but also predicted belief that AI image generators will take jobs and steal art styles from human artists. In addition, the experimental results demonstrate that exposure to specific media messages can influence these responses. The findings carry implications for understanding the future adoption, use, and regulation of AI image generators.
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